累犯率的测量:预测变量与前因式

Maria Diana B. Delfin, Wilfredo D. Dalugdog, Alrien F. Dausan, Elizabeth S. Villa-Buena
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引用次数: 0

摘要

本研究基于预测变量和累犯前因,调查了菲律宾国家首都地区监狱管理和刑罚局(BJMP-NCR)从2020年到2022年的累犯率。结果显示,年轻个体;男性;结婚了;被剥夺自由者(PDL)涉及毒品案件,导致死亡或意图造成死亡,以及涉及欺诈和欺骗的行为;而那些在监狱服刑时间较短的人往往更容易再犯。同样,2020年至2022年马尼拉大都会区监狱(MMDJ)的再犯模式也受到COVID-19大流行的影响。综上所述,累犯预测变量和累犯前因与累犯模式均无显著相关性。
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Measuring Recidivism Rate: Its Predictive Variables and Antecedents
This study examined the recidivism rate at the Bureau of Jail Management and Penology – National Capital Region (BJMP-NCR), Philippines, from 2020 to 2022 based on predictive variables and antecedents of recidivism. The results revealed that young individuals; males; married; Person Deprived of Liberty (PDL) with drug cases, leading to death or intending to cause death, and acts involving fraud and deception; and those having shorter stays in prison tend to recidivate more. Likewise, the pattern of recidivism in the Metro Manila District Jail (MMDJ) from 2020 to 2022 was affected by the existence of the COVID-19 pandemic. In conclusion, both predictive variables and antecedents of recidivism show no significant association with the pattern of recidivism.
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